Jason中代理分布和容错的形式语义

IF 0.7 4区 数学 Q3 COMPUTER SCIENCE, THEORY & METHODS Journal of Logical and Algebraic Methods in Programming Pub Date : 2023-06-01 DOI:10.1016/j.jlamp.2023.100874
Álvaro Fernández Díaz, Lars-Åke Fredlund, Clara Benac-Earle, Julio Mariño
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引用次数: 0

摘要

本文提供了eJason的分布和容错机制的正式规范。eJason编程语言是面向代理的编程语言Jason的扩展,它引入了对代理透明分布的本地支持以及容错机制。这种形式语义是从多智能体系统的角度提出的。它明确地描述了分布式多智能体系统随着时间的推移可能发生的演变,以及用于故障检测和故障恢复的不同仪器,从而暴露了它们的优势。本规范可作为对在面向代理的编程语言中包含类似机制感兴趣的研究人员的参考。形式语义已经通过Prolog编写的(开源)实现实现了机械化,该实现实现了标准的Jason操作语义,以及本文中引入的新的分布和容错规则。
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A formal semantics for agent distribution and fault tolerance in Jason

This article provides a formal specification of the distribution and fault-tolerance mechanisms of eJason. The eJason programming language is an extension to the agent-oriented programming language Jason that introduces native support for the transparent distribution of agents as well as fault-tolerance mechanisms. This formal semantics is presented from a multiagent system perspective. It unambiguously describes both the possible evolution of the distributed multiagent system over time and the different instruments for fault detection and fault recovery, hence exposing their strengths. This specification may serve as a reference for researchers interested in the inclusion of similar mechanisms in agent-oriented programming languages. The formal semantics has been mechanized through an (open-source) implementation written in Prolog, which implements both the standard Jason operational semantics, along with the new rules for distribution and fault-tolerance introduced in this article.

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来源期刊
Journal of Logical and Algebraic Methods in Programming
Journal of Logical and Algebraic Methods in Programming COMPUTER SCIENCE, THEORY & METHODS-LOGIC
CiteScore
2.60
自引率
22.20%
发文量
48
期刊介绍: The Journal of Logical and Algebraic Methods in Programming is an international journal whose aim is to publish high quality, original research papers, survey and review articles, tutorial expositions, and historical studies in the areas of logical and algebraic methods and techniques for guaranteeing correctness and performability of programs and in general of computing systems. All aspects will be covered, especially theory and foundations, implementation issues, and applications involving novel ideas.
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